LLM Reference
OpenRouter

Using Trinity Mini on OpenRouter

Implementation guide · Trinity · Arcee AI

ServerlessOpen Source

OpenRouter exposes Trinity Mini through model ID arcee-ai/trinity-mini. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call arcee-ai/trinity-mini — see the documentation for request format.
  3. 3
    You'll be billed $0.04/1M input, $0.15/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.04
Output tokens$0.15

Capabilities

JSON / Tool useStructured Outputs

About Trinity Mini

26B sparse MoE with 3B active parameters per token and 128K context window. Trained on 10T tokens. Fully post-trained for reasoning and instruction following, suitable for cloud or on-premises deployment. Available via Arcee AI API and OpenRouter.

Full model details →

Model Specs

Released2025-12-01
Parameters26B
Context128k
ArchitectureMixture of Experts

More Models on OpenRouter

Trinity-Large-PreviewTrinity-Large-Thinking
All models on OpenRouter →

Also available on(2)

Vercel AI Gateway$0.04/1MArcee AI
Compare all providers →

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA